Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/15629
Assessment of Dust Size Retrievals Based on AERONET: A Case Study of Radiative Closure From Visible‐Near‐ Infrared to Thermal Infrared
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dc.contributor.authorZheng, Jianyues_ES
dc.contributor.authorZhang, Zhiboes_ES
dc.contributor.authorDeSouza-Machado, Sergioes_ES
dc.contributor.authorRyder, Claire L.es_ES
dc.contributor.authorGarnier, Annees_ES
dc.contributor.authorDi Mauro, Biagioes_ES
dc.contributor.authorYang, Pinges_ES
dc.contributor.authorWelton, Ellsworth J.es_ES
dc.contributor.authorYu, Hongbines_ES
dc.contributor.authorBarreto Velasco, Áfricaes_ES
dc.contributor.authorYela González, Margaritaes_ES
dc.date.accessioned2024-03-01T08:23:46Z-
dc.date.available2024-03-01T08:23:46Z-
dc.date.issued2024-
dc.identifier.citationGeophysical Research Letters. 2024, 51(4), e2023GL106808es_ES
dc.identifier.issn0094-8276-
dc.identifier.issn1944-8007-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/15629-
dc.description.abstractSuper-coarse dust particles (diameters >10 μm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts. Since super-coarse dust accounts for less dust extinction in the visible-to-near-infrared (VIS-NIR) than in the thermal infrared (TIR) spectral regime, they are suspected to be underestimated by remote sensing instruments operates only in VIS-NIR, including Aerosol Robotic Networks (AERONET), a widely used data set for dust model validation. In this study, we perform a radiative closure assessment using the AERONET-retrieved size distribution in comparison with the collocated Atmospheric Infrared Sounder (AIRS) TIR observations with comprehensive uncertainty analysis. The consistently warm bias in the comparisons suggests a potential underestimation of super-coarse dust in the AERONET retrievals due to the limited VIS-NIR sensitivity. An extra super-coarse mode included in the AERONET-retrieved size distribution helps improve the TIR closure without deteriorating the retrieval accuracy in the VIS-NIR.es_ES
dc.description.sponsorshipJ. Zheng, Z. Zhang and A. Garnier are supported by a NASA grant (no. 80NSSC20K0130) from the CALIPSO and CloudSat program managed by David Considine. Z. Zhang also acknowledges funding support from the NSF (AGS-2232138). H. Yu was supported by the CloudSat/CALIPSO program. C. L. Ryder acknowledges funding from NERC IRF Grant NE/M018288/1. The computations in this study were performed at the UMBC High Performance Computing Facility (HPCF). The facility is supported by the US National Science Foundation through the MRI program (Grants CNS-0821258 and CNS-1228778) and the SCREMS program (Grant DMS-0821311), with substantial support from UMBC. We thank NASA for providing the AIRS, CLIMCAPS and MODIS data, which are publicly available at https://disc.gsfc.nasa.gov/ and https://ladsweb.modaps.eosdis.nasa.gov/.es_ES
dc.language.isoenges_ES
dc.publisherWiley Open Accesses_ES
dc.publisherAmerican Geophysical Uniones_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectDust particleses_ES
dc.subjectClimate impactses_ES
dc.subjectVIS-NIRes_ES
dc.subjectAERONETes_ES
dc.titleAssessment of Dust Size Retrievals Based on AERONET: A Case Study of Radiative Closure From Visible‐Near‐ Infrared to Thermal Infraredes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1029/2023GL106808es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos científicos 2023-2026


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